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The rapid development of neuroimaging technology and brain network analysis methodologies have promoted the research of Alzheimer's disease (AD). Recently, studies on brain networks reported that AD patients showed abnormal connectivity alterations and disrupted coordinated organizations compared with normal controls (NC). However, much less knowledge is about the abnormalities of metabolic network at individual level, which might be the potential marker in promoting current AD diagnosis. In the present study, we constructed the individual metabolic network based on 18F-Fluro-Deoxyglucose Positron Emission Tomography (18F-FDG-PET) data by using cubes consisted with certain numbers of voxels. Network properties, connectivity strength and metabolic cost of cubes of 111 NCs and 111 AD patients were calculated to evaluate the performance and feasibility of the proposed network via machine …